The telecommunications industry is at a critical juncture. The demands of 5G, the explosion of connected devices, and the ever-increasing complexity of network architectures require a fundamental shift in how networks are managed and operated. The future is autonomous — autonomous networks driving efficiency and innovation The future isn’t just about scale and performance; it’s …
Scientists everywhere can now access Evo 2, a powerful new foundation model that understands the genetic code for all domains of life. Unveiled today as the largest publicly available AI model for genomic data, it was built on the NVIDIA DGX Cloud platform in a collaboration led by nonprofit biomedical research organization Arc Institute and …
Read more “Massive Foundation Model for Biomolecular Sciences Now Available via NVIDIA BioNeMo”
DOGE technologists Edward Coristine—the 19-year-old known online as “Big Balls”—and Kyle Schutt are now listed as staff at the Cybersecurity and Infrastructure Security Agency.
Someday, your drinking water could be completely free of toxic “forever chemicals.” These chemicals, called PFAS (per- and polyfluoroalkyl substances), are found in common household items like makeup, nonstick cookware, dental floss, batteries, and food packaging. PFAS permeate the soil, water, food, and air, and they can remain in the environment for millennia. Once inside …
Read more “Machine learning accelerates discovery of membranes to filter PFAS from water”
Be sure to check out the previous articles in this series: •
Formula 1® (F1) races are high-stakes affairs where operational efficiency is paramount. During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and …
Read more “How Formula 1® uses generative AI to accelerate race-day issue resolution”
In the realm of data engineering, generative AI models are quietly revolutionizing how we handle, process, and ultimately utilize data. For example, large language models (LLMs) can help with data schema handling, data quality, and even data generation. Building upon the recently released Gemini in BigQuery Data preparation capabilities, this blog showcases areas where gen …
Read more “How to use gen AI for better data schema handling, data quality, and data generation”
The OpenAI rival will focus on strong infrastructure, multimodality and human-AI collaboration (as opposed to purely agentic systems). Read More
At least eight ongoing lawsuits related to the so-called Department of Government Efficiency’s alleged access to sensitive data hinge on the Watergate-inspired Privacy Act of 1974. But it’s not airtight.
Large language models (LLMs), such as the model behind OpenAI’s popular platform ChatGPT, have been found to successfully tackle a wide range of language processing and text generation tasks. Some of these models have also shown some promise for the generation of programming code, particularly when deployed in sets as part of so-called multi-agent systems.